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DBMS > EXASOL vs. Google Cloud Bigtable vs. RDF4J vs. SAP SQL Anywhere vs. Valentina Server

System Properties Comparison EXASOL vs. Google Cloud Bigtable vs. RDF4J vs. SAP SQL Anywhere vs. Valentina Server

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsObject-relational database and reports server
Primary database modelRelational DBMSKey-value store
Wide column store
RDF storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.69
Rank#230  Overall
#9  RDF stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.exasol.comcloud.google.com/­bigtablerdf4j.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.valentina-db.net
Technical documentationwww.exasol.com/­resourcescloud.google.com/­bigtable/­docsrdf4j.org/­documentationhelp.sap.com/­docs/­SAP_SQL_Anywherevalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperExasolGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SAP infoformerly SybaseParadigma Software
Initial release20002015200419921999
Current release17, July 20155.7.5
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedLinux
OS X
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyes infoRDF Schemasyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyes
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesnonoyesyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
HTTP API
JDBC
ODBC
ODBC
Supported programming languagesJava
Lua
Python
R
C#
C++
Go
Java
JavaScript (Node.js)
Python
Java
PHP
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsnoyesyes, in C/C++, Java, .Net or Perlyes
Triggersyesnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
EXASOLGoogle Cloud BigtableRDF4J infoformerly known as SesameSAP SQL Anywhere infoformerly called Adaptive Server AnywhereValentina Server
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